Dataset statistics
| Number of variables | 12 |
|---|---|
| Number of observations | 661 |
| Missing cells | 641 |
| Missing cells (%) | 8.1% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 62.1 KiB |
| Average record size in memory | 96.2 B |
Variable types
| Categorical | 1 |
|---|---|
| Numeric | 11 |
Code has a high cardinality: 661 distinct values | High cardinality |
QD_M is highly correlated with QD_PS and 6 other fields | High correlation |
QD_PS is highly correlated with QD_M and 6 other fields | High correlation |
QD_L is highly correlated with QD_M and 7 other fields | High correlation |
QD_EH is highly correlated with QD_M and 6 other fields | High correlation |
QD_R is highly correlated with QD_M and 6 other fields | High correlation |
VABS_Com is highly correlated with QD_M and 6 other fields | High correlation |
VABS_Soc is highly correlated with QD_M and 6 other fields | High correlation |
VABS_Aut is highly correlated with QD_M and 6 other fields | High correlation |
ADIR_Soc is highly correlated with QD_L | High correlation |
QD_M is highly correlated with QD_PS and 6 other fields | High correlation |
QD_PS is highly correlated with QD_M and 6 other fields | High correlation |
QD_L is highly correlated with QD_M and 7 other fields | High correlation |
QD_EH is highly correlated with QD_M and 6 other fields | High correlation |
QD_R is highly correlated with QD_M and 6 other fields | High correlation |
VABS_Com is highly correlated with QD_M and 6 other fields | High correlation |
VABS_Soc is highly correlated with QD_M and 6 other fields | High correlation |
VABS_Aut is highly correlated with QD_M and 6 other fields | High correlation |
ADIR_Soc is highly correlated with QD_L | High correlation |
QD_M is highly correlated with QD_PS and 1 other fields | High correlation |
QD_PS is highly correlated with QD_M and 5 other fields | High correlation |
QD_L is highly correlated with QD_PS and 4 other fields | High correlation |
QD_EH is highly correlated with QD_PS and 3 other fields | High correlation |
QD_R is highly correlated with QD_M and 3 other fields | High correlation |
VABS_Com is highly correlated with QD_PS and 4 other fields | High correlation |
VABS_Soc is highly correlated with QD_PS and 3 other fields | High correlation |
VABS_Aut is highly correlated with VABS_Com and 1 other fields | High correlation |
QD_M is highly correlated with QD_PS and 6 other fields | High correlation |
QD_PS is highly correlated with QD_M and 6 other fields | High correlation |
QD_L is highly correlated with QD_M and 7 other fields | High correlation |
QD_EH is highly correlated with QD_M and 6 other fields | High correlation |
QD_R is highly correlated with QD_M and 6 other fields | High correlation |
VABS_Com is highly correlated with QD_M and 7 other fields | High correlation |
VABS_Soc is highly correlated with QD_M and 6 other fields | High correlation |
VABS_Aut is highly correlated with QD_M and 6 other fields | High correlation |
ADIR_Soc is highly correlated with QD_L and 1 other fields | High correlation |
QD_M has 33 (5.0%) missing values | Missing |
QD_PS has 33 (5.0%) missing values | Missing |
QD_L has 21 (3.2%) missing values | Missing |
QD_EH has 33 (5.0%) missing values | Missing |
QD_R has 33 (5.0%) missing values | Missing |
VABS_Com has 137 (20.7%) missing values | Missing |
VABS_Soc has 135 (20.4%) missing values | Missing |
VABS_Aut has 137 (20.7%) missing values | Missing |
ADIR_Soc has 23 (3.5%) missing values | Missing |
ADIR_RRB has 24 (3.6%) missing values | Missing |
ADIR_AbDev has 32 (4.8%) missing values | Missing |
Code is uniformly distributed | Uniform |
Code has unique values | Unique |
QD_L has 12 (1.8%) zeros | Zeros |
ADIR_AbDev has 20 (3.0%) zeros | Zeros |
Reproduction
| Analysis started | 2022-12-16 17:32:30.415681 |
|---|---|
| Analysis finished | 2022-12-16 17:32:50.331551 |
| Duration | 19.92 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 661 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.3 KiB |
| AA1 | 1 |
|---|---|
| AA650 | 1 |
| AA705 | 1 |
| AA548 | 1 |
| AA561 | 1 |
| Other values (656) |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 4.907715582 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 661 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | AA1 |
|---|---|
| 2nd row | AA34 |
| 3rd row | AA36 |
| 4th row | AA72 |
| 5th row | AA91 |
Common Values
| Value | Count | Frequency (%) |
| AA1 | 1 | 0.2% |
| AA650 | 1 | 0.2% |
| AA705 | 1 | 0.2% |
| AA548 | 1 | 0.2% |
| AA561 | 1 | 0.2% |
| AA566 | 1 | 0.2% |
| AA613 | 1 | 0.2% |
| AA635 | 1 | 0.2% |
| AA583 | 1 | 0.2% |
| AA593 | 1 | 0.2% |
| Other values (651) | 651 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| aa1 | 1 | 0.2% |
| aa166 | 1 | 0.2% |
| aa36 | 1 | 0.2% |
| aa72 | 1 | 0.2% |
| aa91 | 1 | 0.2% |
| aa2 | 1 | 0.2% |
| aa3 | 1 | 0.2% |
| aa6 | 1 | 0.2% |
| aa7 | 1 | 0.2% |
| aa8 | 1 | 0.2% |
| Other values (651) | 651 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 100 |
|---|---|
| Distinct (%) | 15.9% |
| Missing | 33 |
| Missing (%) | 5.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 87.17117834 |
| Minimum | 28 |
|---|---|
| Maximum | 157 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 28 |
|---|---|
| 5-th percentile | 50 |
| Q1 | 74 |
| median | 89 |
| Q3 | 101 |
| 95-th percentile | 118.65 |
| Maximum | 157 |
| Range | 129 |
| Interquartile range (IQR) | 27 |
Descriptive statistics
| Standard deviation | 20.60147594 |
|---|---|
| Coefficient of variation (CV) | 0.2363335718 |
| Kurtosis | 0.04931459745 |
| Mean | 87.17117834 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | -0.1979370973 |
| Sum | 54743.5 |
| Variance | 424.4208107 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 98 | 20 | 3.0% |
| 83 | 18 | 2.7% |
| 100 | 17 | 2.6% |
| 81 | 16 | 2.4% |
| 90 | 14 | 2.1% |
| 91 | 14 | 2.1% |
| 93 | 14 | 2.1% |
| 88 | 14 | 2.1% |
| 84 | 13 | 2.0% |
| 101 | 13 | 2.0% |
| Other values (90) | 475 | |
| (Missing) | 33 | 5.0% |
| Value | Count | Frequency (%) |
| 28 | 1 | 0.2% |
| 29 | 1 | 0.2% |
| 35 | 3 | |
| 37 | 1 | 0.2% |
| 38 | 2 | 0.3% |
| 39 | 1 | 0.2% |
| 40 | 2 | 0.3% |
| 41 | 2 | 0.3% |
| 43 | 6 | |
| 44 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 157 | 1 | |
| 151 | 1 | |
| 139 | 1 | |
| 135 | 1 | |
| 133 | 2 | |
| 132 | 1 | |
| 130 | 2 | |
| 129 | 2 | |
| 128 | 1 | |
| 127 | 1 |
| Distinct | 103 |
|---|---|
| Distinct (%) | 16.4% |
| Missing | 33 |
| Missing (%) | 5.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 70.34872611 |
| Minimum | 19 |
|---|---|
| Maximum | 161 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 19 |
|---|---|
| 5-th percentile | 34 |
| Q1 | 55 |
| median | 71 |
| Q3 | 86 |
| 95-th percentile | 104 |
| Maximum | 161 |
| Range | 142 |
| Interquartile range (IQR) | 31 |
Descriptive statistics
| Standard deviation | 22.22794515 |
|---|---|
| Coefficient of variation (CV) | 0.3159679837 |
| Kurtosis | 0.1057248385 |
| Mean | 70.34872611 |
| Median Absolute Deviation (MAD) | 16 |
| Skewness | 0.1665767107 |
| Sum | 44179 |
| Variance | 494.0815454 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 73 | 19 | 2.9% |
| 81 | 15 | 2.3% |
| 56 | 15 | 2.3% |
| 80 | 13 | 2.0% |
| 78 | 13 | 2.0% |
| 48 | 13 | 2.0% |
| 63 | 13 | 2.0% |
| 71 | 13 | 2.0% |
| 96 | 12 | 1.8% |
| 67 | 12 | 1.8% |
| Other values (93) | 490 | |
| (Missing) | 33 | 5.0% |
| Value | Count | Frequency (%) |
| 19 | 1 | 0.2% |
| 21 | 2 | |
| 22 | 2 | |
| 23 | 2 | |
| 23.5 | 1 | 0.2% |
| 26 | 1 | 0.2% |
| 27 | 2 | |
| 28 | 3 | |
| 29 | 2 | |
| 30 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 161 | 1 | |
| 155 | 1 | |
| 146 | 1 | |
| 137 | 1 | |
| 123 | 1 | |
| 121 | 1 | |
| 118 | 1 | |
| 116 | 1 | |
| 115 | 1 | |
| 114 | 2 |
QD_L
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSINGZEROS| Distinct | 126 |
|---|---|
| Distinct (%) | 19.7% |
| Missing | 21 |
| Missing (%) | 3.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 63.0078125 |
| Minimum | 0 |
|---|---|
| Maximum | 158 |
| Zeros | 12 |
| Zeros (%) | 1.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 17 |
| Q1 | 37 |
| median | 61 |
| Q3 | 89 |
| 95-th percentile | 111.05 |
| Maximum | 158 |
| Range | 158 |
| Interquartile range (IQR) | 52 |
Descriptive statistics
| Standard deviation | 32.09359993 |
|---|---|
| Coefficient of variation (CV) | 0.5093590565 |
| Kurtosis | -0.6938688201 |
| Mean | 63.0078125 |
| Median Absolute Deviation (MAD) | 26 |
| Skewness | 0.202422355 |
| Sum | 40325 |
| Variance | 1029.999156 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 30 | 14 | 2.1% |
| 76 | 12 | 1.8% |
| 0 | 12 | 1.8% |
| 50 | 12 | 1.8% |
| 61 | 11 | 1.7% |
| 92 | 11 | 1.7% |
| 42 | 11 | 1.7% |
| 72 | 10 | 1.5% |
| 79 | 10 | 1.5% |
| 44 | 10 | 1.5% |
| Other values (116) | 527 | |
| (Missing) | 21 | 3.2% |
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 8 | 1 | 0.2% |
| 10 | 1 | 0.2% |
| 11 | 2 | 0.3% |
| 12 | 2 | 0.3% |
| 12.5 | 1 | 0.2% |
| 13 | 4 | 0.6% |
| 14 | 2 | 0.3% |
| 15 | 2 | 0.3% |
| 16 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 158 | 1 | |
| 152 | 1 | |
| 150 | 1 | |
| 149 | 1 | |
| 144 | 1 | |
| 140 | 1 | |
| 138 | 2 | |
| 136 | 1 | |
| 131 | 1 | |
| 128 | 1 |
| Distinct | 114 |
|---|---|
| Distinct (%) | 18.2% |
| Missing | 33 |
| Missing (%) | 5.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 74.62340764 |
| Minimum | 15 |
|---|---|
| Maximum | 150 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 15 |
|---|---|
| 5-th percentile | 32.35 |
| Q1 | 54 |
| median | 77 |
| Q3 | 94.25 |
| 95-th percentile | 113.65 |
| Maximum | 150 |
| Range | 135 |
| Interquartile range (IQR) | 40.25 |
Descriptive statistics
| Standard deviation | 25.98411323 |
|---|---|
| Coefficient of variation (CV) | 0.3482032521 |
| Kurtosis | -0.619877287 |
| Mean | 74.62340764 |
| Median Absolute Deviation (MAD) | 20 |
| Skewness | -0.02261952787 |
| Sum | 46863.5 |
| Variance | 675.1741402 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 82 | 15 | 2.3% |
| 92 | 13 | 2.0% |
| 100 | 12 | 1.8% |
| 81 | 12 | 1.8% |
| 57 | 11 | 1.7% |
| 101 | 11 | 1.7% |
| 72 | 11 | 1.7% |
| 108 | 11 | 1.7% |
| 76 | 11 | 1.7% |
| 44 | 10 | 1.5% |
| Other values (104) | 511 | |
| (Missing) | 33 | 5.0% |
| Value | Count | Frequency (%) |
| 15 | 1 | 0.2% |
| 18 | 2 | 0.3% |
| 19 | 2 | 0.3% |
| 20 | 1 | 0.2% |
| 21 | 1 | 0.2% |
| 22 | 2 | 0.3% |
| 24 | 1 | 0.2% |
| 25 | 1 | 0.2% |
| 25.5 | 1 | 0.2% |
| 28 | 5 |
| Value | Count | Frequency (%) |
| 150 | 1 | 0.2% |
| 149 | 1 | 0.2% |
| 144 | 1 | 0.2% |
| 140 | 1 | 0.2% |
| 135 | 1 | 0.2% |
| 133 | 1 | 0.2% |
| 130 | 1 | 0.2% |
| 129 | 1 | 0.2% |
| 128 | 3 | |
| 127 | 1 | 0.2% |
| Distinct | 121 |
|---|---|
| Distinct (%) | 19.3% |
| Missing | 33 |
| Missing (%) | 5.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 81.78264331 |
| Minimum | 14 |
|---|---|
| Maximum | 166 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 14 |
|---|---|
| 5-th percentile | 35.35 |
| Q1 | 61 |
| median | 82 |
| Q3 | 100 |
| 95-th percentile | 127 |
| Maximum | 166 |
| Range | 152 |
| Interquartile range (IQR) | 39 |
Descriptive statistics
| Standard deviation | 27.32016976 |
|---|---|
| Coefficient of variation (CV) | 0.3340582874 |
| Kurtosis | -0.4271409042 |
| Mean | 81.78264331 |
| Median Absolute Deviation (MAD) | 19 |
| Skewness | 0.05279084141 |
| Sum | 51359.5 |
| Variance | 746.3916759 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 72 | 13 | 2.0% |
| 81 | 13 | 2.0% |
| 82 | 13 | 2.0% |
| 89 | 13 | 2.0% |
| 78 | 13 | 2.0% |
| 100 | 12 | 1.8% |
| 92 | 12 | 1.8% |
| 84 | 12 | 1.8% |
| 80 | 10 | 1.5% |
| 96 | 10 | 1.5% |
| Other values (111) | 507 | |
| (Missing) | 33 | 5.0% |
| Value | Count | Frequency (%) |
| 14 | 1 | 0.2% |
| 18 | 1 | 0.2% |
| 20 | 1 | 0.2% |
| 25 | 2 | |
| 26 | 2 | |
| 27 | 1 | 0.2% |
| 28 | 3 | |
| 29 | 1 | 0.2% |
| 31 | 2 | |
| 32 | 4 |
| Value | Count | Frequency (%) |
| 166 | 1 | |
| 155 | 1 | |
| 150 | 1 | |
| 148 | 2 | |
| 143 | 1 | |
| 142 | 1 | |
| 140 | 1 | |
| 138 | 2 | |
| 137 | 2 | |
| 136 | 2 |
VABS_Com
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 92 |
|---|---|
| Distinct (%) | 17.6% |
| Missing | 137 |
| Missing (%) | 20.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 63.79770992 |
| Minimum | 20 |
|---|---|
| Maximum | 121 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 20 |
|---|---|
| 5-th percentile | 20 |
| Q1 | 48 |
| median | 65 |
| Q3 | 80 |
| 95-th percentile | 96.85 |
| Maximum | 121 |
| Range | 101 |
| Interquartile range (IQR) | 32 |
Descriptive statistics
| Standard deviation | 22.34522107 |
|---|---|
| Coefficient of variation (CV) | 0.350251147 |
| Kurtosis | -0.6024498023 |
| Mean | 63.79770992 |
| Median Absolute Deviation (MAD) | 16 |
| Skewness | -0.1881658652 |
| Sum | 33430 |
| Variance | 499.3089049 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 20 | 33 | 5.0% |
| 62 | 15 | 2.3% |
| 80 | 14 | 2.1% |
| 79 | 14 | 2.1% |
| 74 | 12 | 1.8% |
| 75 | 11 | 1.7% |
| 92 | 11 | 1.7% |
| 85 | 11 | 1.7% |
| 77 | 11 | 1.7% |
| 44 | 10 | 1.5% |
| Other values (82) | 382 | |
| (Missing) | 137 | 20.7% |
| Value | Count | Frequency (%) |
| 20 | 33 | |
| 21 | 1 | 0.2% |
| 24 | 3 | 0.5% |
| 25 | 2 | 0.3% |
| 26 | 2 | 0.3% |
| 27 | 4 | 0.6% |
| 28 | 2 | 0.3% |
| 29 | 3 | 0.5% |
| 30 | 1 | 0.2% |
| 31 | 2 | 0.3% |
| Value | Count | Frequency (%) |
| 121 | 1 | |
| 118 | 1 | |
| 114 | 1 | |
| 113 | 1 | |
| 112 | 1 | |
| 108 | 1 | |
| 107 | 2 | |
| 106 | 2 | |
| 105 | 1 | |
| 104 | 1 |
VABS_Soc
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 72 |
|---|---|
| Distinct (%) | 13.7% |
| Missing | 135 |
| Missing (%) | 20.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 66.18441065 |
| Minimum | 20 |
|---|---|
| Maximum | 106 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 20 |
|---|---|
| 5-th percentile | 31 |
| Q1 | 55 |
| median | 67 |
| Q3 | 78 |
| 95-th percentile | 94 |
| Maximum | 106 |
| Range | 86 |
| Interquartile range (IQR) | 23 |
Descriptive statistics
| Standard deviation | 17.54315019 |
|---|---|
| Coefficient of variation (CV) | 0.2650646884 |
| Kurtosis | 0.4238156378 |
| Mean | 66.18441065 |
| Median Absolute Deviation (MAD) | 11 |
| Skewness | -0.5099935713 |
| Sum | 34813 |
| Variance | 307.7621184 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 20 | 20 | 3.0% |
| 78 | 18 | 2.7% |
| 58 | 17 | 2.6% |
| 69 | 17 | 2.6% |
| 71 | 16 | 2.4% |
| 68 | 16 | 2.4% |
| 64 | 16 | 2.4% |
| 52 | 14 | 2.1% |
| 66 | 14 | 2.1% |
| 73 | 14 | 2.1% |
| Other values (62) | 364 | |
| (Missing) | 135 | 20.4% |
| Value | Count | Frequency (%) |
| 20 | 20 | |
| 22 | 2 | 0.3% |
| 24 | 2 | 0.3% |
| 28 | 1 | 0.2% |
| 31 | 3 | 0.5% |
| 34 | 1 | 0.2% |
| 35 | 1 | 0.2% |
| 36 | 1 | 0.2% |
| 38 | 1 | 0.2% |
| 40 | 4 | 0.6% |
| Value | Count | Frequency (%) |
| 106 | 1 | 0.2% |
| 104 | 2 | 0.3% |
| 101 | 1 | 0.2% |
| 100 | 1 | 0.2% |
| 99 | 1 | 0.2% |
| 97 | 5 | |
| 96 | 4 | |
| 95 | 8 | |
| 94 | 5 | |
| 93 | 7 |
VABS_Aut
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 76 |
|---|---|
| Distinct (%) | 14.5% |
| Missing | 137 |
| Missing (%) | 20.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 60.46564885 |
| Minimum | 20 |
|---|---|
| Maximum | 111 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 20 |
|---|---|
| 5-th percentile | 20 |
| Q1 | 51 |
| median | 63 |
| Q3 | 75 |
| 95-th percentile | 87 |
| Maximum | 111 |
| Range | 91 |
| Interquartile range (IQR) | 24 |
Descriptive statistics
| Standard deviation | 19.40010357 |
|---|---|
| Coefficient of variation (CV) | 0.3208450407 |
| Kurtosis | -0.2258103218 |
| Mean | 60.46564885 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | -0.5771709256 |
| Sum | 31684 |
| Variance | 376.3640185 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 20 | 44 | 6.7% |
| 64 | 19 | 2.9% |
| 75 | 17 | 2.6% |
| 72 | 15 | 2.3% |
| 63 | 15 | 2.3% |
| 66 | 14 | 2.1% |
| 60 | 14 | 2.1% |
| 54 | 14 | 2.1% |
| 79 | 13 | 2.0% |
| 62 | 13 | 2.0% |
| Other values (66) | 346 | |
| (Missing) | 137 | 20.7% |
| Value | Count | Frequency (%) |
| 20 | 44 | |
| 22 | 1 | 0.2% |
| 23 | 1 | 0.2% |
| 24 | 3 | 0.5% |
| 25 | 2 | 0.3% |
| 26 | 1 | 0.2% |
| 27 | 1 | 0.2% |
| 28 | 2 | 0.3% |
| 29 | 3 | 0.5% |
| 30 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 111 | 1 | 0.2% |
| 102 | 1 | 0.2% |
| 101 | 1 | 0.2% |
| 97 | 2 | |
| 96 | 1 | 0.2% |
| 95 | 2 | |
| 94 | 1 | 0.2% |
| 93 | 1 | 0.2% |
| 91 | 4 | |
| 89 | 4 |
| Distinct | 30 |
|---|---|
| Distinct (%) | 4.7% |
| Missing | 23 |
| Missing (%) | 3.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 18.97335423 |
| Minimum | 0 |
|---|---|
| Maximum | 30 |
| Zeros | 1 |
| Zeros (%) | 0.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 10 |
| Q1 | 14 |
| median | 19 |
| Q3 | 25 |
| 95-th percentile | 29 |
| Maximum | 30 |
| Range | 30 |
| Interquartile range (IQR) | 11 |
Descriptive statistics
| Standard deviation | 6.519930442 |
|---|---|
| Coefficient of variation (CV) | 0.3436361522 |
| Kurtosis | -0.903112607 |
| Mean | 18.97335423 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | -0.05696923026 |
| Sum | 12105 |
| Variance | 42.50949297 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=30)
| Value | Count | Frequency (%) |
| 16 | 41 | 6.2% |
| 28 | 37 | 5.6% |
| 11 | 37 | 5.6% |
| 14 | 36 | 5.4% |
| 22 | 35 | 5.3% |
| 13 | 34 | 5.1% |
| 26 | 34 | 5.1% |
| 15 | 32 | 4.8% |
| 17 | 32 | 4.8% |
| 10 | 31 | 4.7% |
| Other values (20) | 289 |
| Value | Count | Frequency (%) |
| 0 | 1 | 0.2% |
| 1 | 1 | 0.2% |
| 2 | 2 | 0.3% |
| 4 | 1 | 0.2% |
| 5 | 2 | 0.3% |
| 6 | 2 | 0.3% |
| 7 | 8 | 1.2% |
| 8 | 5 | 0.8% |
| 9 | 6 | 0.9% |
| 10 | 31 |
| Value | Count | Frequency (%) |
| 30 | 29 | |
| 29 | 16 | |
| 28 | 37 | |
| 27 | 15 | |
| 26 | 34 | |
| 25 | 30 | |
| 24 | 30 | |
| 23 | 28 | |
| 22 | 35 | |
| 21 | 24 |
| Distinct | 14 |
|---|---|
| Distinct (%) | 2.2% |
| Missing | 24 |
| Missing (%) | 3.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.485086342 |
| Minimum | 0 |
|---|---|
| Maximum | 23 |
| Zeros | 6 |
| Zeros (%) | 0.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 3 |
| median | 4 |
| Q3 | 6 |
| 95-th percentile | 8 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.000435613 |
|---|---|
| Coefficient of variation (CV) | 0.4460194209 |
| Kurtosis | 11.71046292 |
| Mean | 4.485086342 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.899872272 |
| Sum | 2857 |
| Variance | 4.001742642 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=14)
| Value | Count | Frequency (%) |
| 3 | 178 | |
| 4 | 162 | |
| 5 | 91 | |
| 6 | 74 | |
| 8 | 35 | 5.3% |
| 7 | 35 | 5.3% |
| 2 | 29 | 4.4% |
| 1 | 10 | 1.5% |
| 9 | 6 | 0.9% |
| 10 | 6 | 0.9% |
| Other values (4) | 11 | 1.7% |
| (Missing) | 24 | 3.6% |
| Value | Count | Frequency (%) |
| 0 | 6 | 0.9% |
| 1 | 10 | 1.5% |
| 2 | 29 | 4.4% |
| 3 | 178 | |
| 4 | 162 | |
| 5 | 91 | |
| 6 | 74 | |
| 7 | 35 | 5.3% |
| 8 | 35 | 5.3% |
| 9 | 6 | 0.9% |
| Value | Count | Frequency (%) |
| 23 | 1 | 0.2% |
| 12 | 2 | 0.3% |
| 11 | 2 | 0.3% |
| 10 | 6 | 0.9% |
| 9 | 6 | 0.9% |
| 8 | 35 | 5.3% |
| 7 | 35 | 5.3% |
| 6 | 74 | |
| 5 | 91 | |
| 4 | 162 |
| Distinct | 8 |
|---|---|
| Distinct (%) | 1.3% |
| Missing | 32 |
| Missing (%) | 4.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.027027027 |
| Minimum | 0 |
|---|---|
| Maximum | 25 |
| Zeros | 20 |
| Zeros (%) | 3.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 4 |
| Q3 | 5 |
| 95-th percentile | 5 |
| Maximum | 25 |
| Range | 25 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.562162341 |
|---|---|
| Coefficient of variation (CV) | 0.3879195075 |
| Kurtosis | 51.4978199 |
| Mean | 4.027027027 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.994692219 |
| Sum | 2533 |
| Variance | 2.440351179 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 5 | 295 | |
| 4 | 161 | |
| 3 | 87 | 13.2% |
| 2 | 33 | 5.0% |
| 1 | 26 | 3.9% |
| 0 | 20 | 3.0% |
| 6 | 6 | 0.9% |
| 25 | 1 | 0.2% |
| (Missing) | 32 | 4.8% |
| Value | Count | Frequency (%) |
| 0 | 20 | 3.0% |
| 1 | 26 | 3.9% |
| 2 | 33 | 5.0% |
| 3 | 87 | 13.2% |
| 4 | 161 | |
| 5 | 295 | |
| 6 | 6 | 0.9% |
| 25 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 25 | 1 | 0.2% |
| 6 | 6 | 0.9% |
| 5 | 295 | |
| 4 | 161 | |
| 3 | 87 | 13.2% |
| 2 | 33 | 5.0% |
| 1 | 26 | 3.9% |
| 0 | 20 | 3.0% |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| Code | QD_M | QD_PS | QD_L | QD_EH | QD_R | VABS_Com | VABS_Soc | VABS_Aut | ADIR_Soc | ADIR_RRB | ADIR_AbDev | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | AA1 | 47.0 | 35.0 | 13.0 | 28.0 | 38.0 | NaN | NaN | NaN | 28.0 | 9.0 | 2.0 |
| 1 | AA34 | 43.0 | 27.0 | 18.0 | 25.0 | 31.0 | NaN | NaN | NaN | 30.0 | 8.0 | 5.0 |
| 2 | AA36 | 52.0 | 35.0 | 8.0 | 31.0 | 45.0 | NaN | NaN | NaN | 30.0 | 8.0 | 5.0 |
| 3 | AA72 | 29.0 | 21.0 | 23.0 | 21.0 | 20.0 | NaN | NaN | NaN | 26.0 | 4.0 | 5.0 |
| 4 | AA91 | 28.0 | 19.0 | 11.0 | 18.0 | 26.0 | NaN | NaN | NaN | 28.0 | 8.0 | 4.0 |
| 5 | AA2 | 71.0 | 43.0 | 30.0 | 38.0 | 42.0 | 20.0 | 20.0 | 20.0 | 27.0 | 4.0 | 1.0 |
| 6 | AA3 | 62.0 | 38.0 | 28.0 | 47.0 | 38.0 | NaN | NaN | NaN | 30.0 | 5.0 | 3.0 |
| 7 | AA6 | 93.0 | 87.0 | 74.0 | 55.0 | 84.0 | 40.0 | 50.0 | 54.0 | 13.0 | 3.0 | 4.0 |
| 8 | AA7 | 97.0 | 70.0 | 39.0 | 51.0 | 80.0 | 20.0 | 41.0 | 20.0 | 24.0 | 4.0 | 3.0 |
| 9 | AA8 | 43.0 | 29.0 | 22.0 | 29.0 | 14.0 | NaN | NaN | NaN | 29.0 | 4.0 | 5.0 |
Last rows
| Code | QD_M | QD_PS | QD_L | QD_EH | QD_R | VABS_Com | VABS_Soc | VABS_Aut | ADIR_Soc | ADIR_RRB | ADIR_AbDev | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 651 | AA906 | NaN | NaN | 0.0 | NaN | NaN | 62.0 | 66.0 | 58.0 | 21.0 | 5.0 | 5.0 |
| 652 | AA903 | 88.0 | 58.0 | 35.0 | 63.0 | 100.0 | NaN | NaN | NaN | 9.0 | 5.0 | 2.0 |
| 653 | AA900 | 89.0 | 78.0 | 47.0 | 92.0 | 78.0 | NaN | NaN | NaN | 11.0 | 3.0 | 5.0 |
| 654 | AA922 | 98.0 | 90.0 | 95.0 | 92.0 | 95.0 | 69.0 | 72.0 | 69.0 | 7.0 | 5.0 | 4.0 |
| 655 | AA904 | 73.0 | 52.0 | 42.0 | 69.0 | 69.0 | 66.0 | 68.0 | 67.0 | NaN | NaN | NaN |
| 656 | AA927 | 76.0 | 55.0 | 84.0 | 81.0 | 84.0 | 79.0 | 74.0 | 79.0 | NaN | NaN | NaN |
| 657 | AA938 | 97.0 | 73.0 | 65.0 | 77.0 | 97.0 | 78.0 | 68.0 | 77.0 | 11.0 | 3.0 | NaN |
| 658 | AA934 | 58.0 | 40.0 | 20.0 | 31.0 | 34.0 | 47.0 | 63.0 | 55.0 | 10.0 | 3.0 | 25.0 |
| 659 | AA942 | 115.0 | 85.0 | 47.0 | 89.0 | 85.0 | 63.0 | 77.0 | 69.0 | NaN | NaN | NaN |
| 660 | AA837 | 80.0 | 62.0 | 64.0 | 83.0 | 83.0 | 72.0 | 59.0 | 58.0 | 15.0 | 3.0 | 5.0 |